Evidence map›Paper›PMID 29067974›Full record

ReviewThe Indian journal of medical research2017

Telomere length as a potential biomarker of coronary artery disease.

Joyeeta Bhattacharyya, Keichiro Mihara, Deborshi Bhattacharjee, Manjarí Mukherjee

Open access · diamondAbstract readReview
In one paragraph

Review in The Indian journal of medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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  20. Telomere Biology in Mood Disorders: An Updated, Comprehensive Review of the Literature.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Joyeeta BhattacharyyaDepartment of Cardiac Research, Cumballa Hill Hospital & Heart Institute, Mumbai, India.
Keichiro MiharaDepartment of Hematology & Oncology, Research Institute for Radiation Biology & Medicine, Hiroshima University, Hiroshima, Japan.
Deborshi BhattacharjeeDepartment of Cardiac Research, Cumballa Hill Hospital & Heart Institute, Mumbai, India.
Manjarí MukherjeeDepartment of Cardiac Research, Cumballa Hill Hospital & Heart Institute, Mumbai, India.
Bombay Hospital · INHiroshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD) is a multifactorial disease whose prevalence remains unabated especially in developing countries. Both lifestyle factors and genetic predisposition contribute to this disorder. Though notable achievements have been made in the medical, interventional and surgical management of CAD, the need for its prevention is more important. Among other modalities, this calls for defining evidence-based new biomarkers, which on their own or in combination with other known biomarkers may predict the risk of CAD to enable institution of appropriate preventive strategies. In the present communication, we have discussed the usefulness of shortening of telomeres as a potential biomarker of CAD. Clinical research evidence in favour of telomere shortening in CAD is well documented in different ethnic populations of the world. Establishing a well-standardized and accurate method of evaluating telomere length is essential before its routine use in preventive cardiology.

Indexed as

BiomarkersCoronary Artery DiseaseGenetic Predisposition to DiseaseHumansRisk FactorsTelomereTelomere ShorteningBiomarkers

Identifiers

PMID29067974
PMCPMC5674542
OpenAlexW2770152106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.